Intelligent Monitoring Offers Warehouse Solutions

Identifying, understanding and addressing issues before they impact operations.

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When something unexpected happens in your warehouse or distribution center, it sets into motion an unplanned sequence of events that can spread delays and confusion across your entire operation—and leaves your team with many unanswered questions that need to be clarified quickly:

  • Where did the problem begin?
  • Which orders, shipments or processes are affected?
  • Are customers or partners impacted?
  • Has this happened before?
  • Will this happen again? 

Without insight into what’s happening in real-time, as well as the ability to investigate the root cause of the issue, warehouse managers can’t always pinpoint the source of the problem or minimize impact. In scenarios like this, they have no choice but to react instead of being proactive and taking steps to get ahead of the issue.

Seeing is Believing

The integration of intelligent monitoring into warehouse operations is redefining how efficiency and reliability are improved. It gives warehouse teams the chance to anticipate and address issues before they become full-blown problems that disrupt performance. 

By identifying unusual patterns and potential issues early, you can unlock the power of intelligent monitoring to transform your warehouse operations. This allows you to shift your maintenance and operations from reactive fixes to proactive interventions and turn downtime into uptime. 

Machines and equipment often display early warning signs before they fail. Without the right tools in place, however, these signals are easy to miss and, as a result, are often overlooked. Intelligent monitoring can also support improvements in critical operational processes like these:

  • Seamless predictive maintenance. Many warehouses rely on condition-based monitoring to track factors like vibration and temperature. The right people are notified when parameters fall outside “normal” limits. When something is “off,” action can be taken. With the data and context needed to shift from reactive to proactive maintenance, your advanced analytics, AI and machine learning can work together to predict problems before they reveal themselves. They do this by continuously analyzing trends and patterns from equipment over time and determining what indicates an impending issue. This helps teams forecast issues before thresholds are ever breached so they can intervene and prevent failures.
  • Smart inventory management. Unusual or fast drops in stock levels or mismatches between recorded and actual inventory can be flagged to prevent theft, misplacement, data entry errors and stockouts. Sensors track product location (when a product is moved, added to or removed from inventory) and share this information with the inventory management system. Over time, the system learns what “normal” stock movements look like for each product based on factors like the time of year, sales trends and order frequency. Team members receive instant notification about irregularities so they can investigate early.
  • Improved quality control. When sensor and camera data are monitored and analyzed continuously, defective products and packaging issues can be uncovered before they impact customers. This includes subtle deviations like incorrect labels, missing components, incorrect dimensions or flaws in material. As products move through the warehouse, sensors and cameras can capture images that are analyzed and measured in real-time. The information gleaned from the images is compared to pre-established standards for parameters like weight, size, color and other quality metrics. Deviations are flagged and staff are notified so they can investigate and address or remove defective items before they continue down the supply chain.
  • Enhanced operational efficiency. Changes in workflow speed and timing (delays in picking, packing, shipping, etc.) can point to possible bottlenecks. By continuously tracking operational data across each stage of the workflow, you can see when and where improvements need to be made. When deviations from normal timing are detected (when orders take longer than usual to be picked or packed, for example), they’re immediately flagged for review by a team member. In some cases, depending on how advanced the system is and whether AI is incorporated into the operation, recommendations may be generated to guide the team’s decision-making and subsequent actions.

Proactive Responses Matter

Intelligent monitoring offers warehouses and distribution centers a smarter, more vigilant way to optimize operations. Teams can minimize operational surprises by spotting the unexpected before it becomes disruptive. 

When hidden issues and patterns are brought to light, warehouse managers are in greater control. They’re able to take advantage of capabilities like:

  • Automated threat detection. Possible breaches and other cybersecurity issues can be uncovered early when unusual data flows across equipment like conveyors and robots are detected.
  • Data-driven maintenance. By monitoring equipment metrics, you can identify hardware and software issues when they first show signs of struggle.
  • Proactive safety management. Abnormal sensor readings could signal possible safety problems. Identifying and addressing those problems early can avoid injury and liability.
  • Real-time operational improvement. Subtle workflow slowdowns or process bottlenecks sometimes go unnoticed unless a process is in place to detect them. The insights it provides allow managers to optimize layouts, staffing and scheduling for better throughput.
  • Targeted resource optimization. By tracking equipment and labor patterns, you can spotlight underused resources to improve allocation and cost savings.

Complete connection solutions are what help your warehouse or distribution center unlock new possibilities. They can help you:

  • Capture, move and centralize real-time data from new and legacy machines.
  • Integrate sensors and hardware to track equipment conditions.
  • Unify data so it can be analyzed and acted upon. 

They act as the foundation that enables continuous improvement and makes sure your monitoring solutions improve over time as they learn from new data and adapt to changes in warehouse operations. 

With the right connection solutions in place, your warehouse will be ready to break the cycle of unpredictability and get ahead of disruptions by making hidden issues visible and actionable.

 Bobby Maxwell is the director of material handling and OEM at Belden.

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